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Supercourse Statistics Course

Supercourse Statistics Course

Instructor: M. Zelen       

Organization: Supercourse - University of Pittsburgh / Harvard University

Delivery Mode: Online – self study

When offered: Ongoing

Cost: None

Prerequisite: None

Description: This course is an introduction to stochastic processes as applied to the biomedical sciences. Among the topics discussed are epidemiology models for incidence, prevalence and mortality, backward and forward recurrence times and their relationship to length biased sampling, Poisson processes, birth and death processes, Markov chains and semi-Markov processes.

This course is also available for viewing in a PDF format.

The topics covered under this course include:

     •  Examples and Elements of Theory

     •  Logistic Regression

     •  Independence and Urn Sampling

     •  Correlated Outcomes 

     •  Proportional Hazards Models and Urn sampling 

     •  Multiple Logistic Regression

     •  Multivariate problems

     •  Polychotomous Regression